Management information system collects and processes data (information) and provides it to managers at all levels who use it for decision making, planning, program implementation, and control. In addition to the global studies of management information system, this paper will analyze similar cases in Albanian enterprises. Albanian enterprises strongly need management information systems and the facilities that they bring to their management ensuring a better functioning and higher performance of different enterprise processes. In this paper was taken the case study of the Microsoft Dynamics NAV system, the implementation in “Infosoft Systems” enterprise in Albania and the impact of NAV system in some of the enterprise departments. Implementation phase of management information system is one of the most important stages which starts with the organization of the information systems management department and ends with the procurement of the relevant software. To get more information we used a questionnaire which was designed and sent to some enterprises in Albania. The purpose of this questionnaire was to learn how many of them use management information systems, what type of information system they use and the advantages or benefits that the implementation of information systems brings to enterprises in Albania. As a conclusion, management information systems have contributed to enterprises to put in place better functionality, which leads to increased enterprise performance, increased profits, simplified work processes in different departments.

Businesses and industries are very interested in optimizing processes and minimizing costs. One of the transportation models or problems to optimize relates to the case where the product output can be transported from the manufacturing plant to some warehouses or customers. The transport problem is a case of the linear programming problem. Linear programming algorithms have been used to solve the most difficult optimization problems. Linear programming has been used to manage the problems related to personnel assignment, engineering, distribution, banking, education, oil, transportation, etc. It has been widely used in various fields, like transport, telecommunications, health services, construction, public services, industry, etc. The main purpose of the paper is to look at the problem of linear programming in detail by considering an example and try to solve the problem. The purpose of the transport problem in our case is to minimize the overall cost of transport from origin to destination by meeting supply and demand limits, in order to increase sales profit. This paper aims to determine the problem of minimizing the total cost of transport by determining the optimal distribution of the product, from the 2 sites of production to the 9 major distributors that are geographically dispersed. Management Science and Operational Research will be used to find the best solution for the transportation problem.

Optimizing transportation logistics has become essential for manufacturing companies seeking to enhance efficiency. The focus on developing innovative methods to reduce transportation costs recently has gained considerable attention. Despite extensive efforts to optimize it, the transportation problem remains complex to solve. Mathematical models of quantity distribution from the manufacturing site to the point of sale or consumption are essential tools for addressing this complexity. The main purpose of the chapter is the minimization of transportation costs from manufacturing to destination using the simplex method. The model examines the balanced distribution of products from three production locations to six destinations, involving three capacity constraints, 6 demand constraints, and a total of 18 variables. The problem is solved by using various methods to determine the quantity of products to be transported from each production center to each consumer center to ensure that all conditions are met and costs are minimized. The North West Corner Method results in the highest cost, while the Least Cost Method and Vogel’s Approximation Method offer progressively lower costs. With the use of digitalization, the Monte Carlo simulation was used to account for the uncertainty and variability in costs after implementing the Simplex Method to optimize transportation costs. This study provides an approach to solving the problem of product transportation and contributes to the field of operational research, management sciences, and solving industry problems.